Solving Stereo Transparency with an Extended Coarse-to-Fine Disparity Energy Model. - Zhe Li 002; Ning Qian (Neural Comput., 2015)

Primary Visual Cortex as a Saliency Map: A Parameter-Free Prediction and Its Test by Behavioral Data. - Zhaoping Li 001; Zhe Li 002 (PLoS Comput. Biol., 2015)

Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network. - Fangzhou Liao; Ming Liang; Zhe Li 002; Xiaolin Hu 001; Sen Song (CoRR, 2017)

A Single, Continuously Applied Control Policy for Modeling Reaching Movements with and without Perturbation. - Zhe Li 002; Pietro Mazzoni; Sen Song; Ning Qian (Neural Comput., 2018)

Learning from brains how to regularize machines. - Zhe Li 002; Wieland Brendel; Edgar Y. Walker; Erick Cobos; Taliah Muhammad; Jacob Reimer; Matthias Bethge; Fabian H. Sinz; Xaq Pitkow; Andreas S. Tolias (NeurIPS, 2019)

Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network. - Fangzhou Liao; Ming Liang; Zhe Li 002; Xiaolin Hu 001; Sen Song (IEEE Trans. Neural Networks Learn. Syst., 2019)

Class-Incremental Learning With Generative Classifiers. - Gido M. van de Ven; Zhe Li 002; Andreas S. Tolias (CVPR Workshops, 2021)

Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks. - Zhe Li 002; Andreas S. Tolias; Xaq Pitkow (CoRR, 2022)

Inferring Inference. - Rajkumar Vasudeva Raju; Zhe Li 002; Scott Linderman; Xaq Pitkow (CoRR, 2023)

Robust deep learning object recognition models rely on low frequency information in natural images. - Zhe Li 002; Josue Ortega Caro; Evgenia Rusak; Wieland Brendel; Matthias Bethge; Fabio Anselmi; Ankit B. Patel; Andreas S. Tolias; Xaq Pitkow (PLoS Comput. Biol., 2023)